Training in progress, epoch 1

config.json

@@ -1,5 +1,11 @@
 {
   "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -31,7 +37,7 @@
   "problem_type": "single_label_classification",
   "structure": [],
   "torch_dtype": "float32",
-  "transformers_version": "4.20.1",
+  "transformers_version": "4.17.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

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pytorch_model.bin

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special_tokens_map.json

@@ -1,7 +1 @@
-{
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
-}
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -1,14 +1 @@
-{
-  "cls_token": "[CLS]",
-  "do_lower_case": true,
-  "mask_token": "[MASK]",
-  "model_max_length": 512,
-  "name_or_path": "bert-base-uncased",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "special_tokens_map_file": null,
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}
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training_args.bin

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